John Milton Toru Ohira Milton Mathematics as a Laboratory Tool

Mathematics as a Laboratory Tool

von John Milton Toru Ohira

Dynamics, Delays and Noise

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Beschreibung

The second edition of Mathematics as a Laboratory Tool reflects the growing impact that computational science is having on the career choices made by undergraduate science and engineering students. The focus is on dynamics and the effects of time delays and stochastic perturbations (“noise”) on the regulation provided by feedback control systems. The concepts are illustrated with applications to gene regulatory networks, motor control, neuroscience and population biology. The presentation in the first edition has been extended to include discussions of neuronal excitability and bursting, multistability, microchaos, Bayesian inference, second-order delay differential equations, and the semi-discretization method for the numerical integration of delay differential equations.

Every effort has been made to ensure that the material is accessible to those with a background in calculus. The text provides advanced mathematical concepts such as the Laplace and Fourier integral transforms in the form of Tools. Bayesian inference is introduced using a number of detective-type scenarios including the Monty Hall problem.


Review:

"Based on the authors' experience teaching biology students, this book introduces a wide range of mathematical techniques in a lively and engaging style.  Examples drawn from the authors' experimental and neurological studies provide a rich source of material for computer laboratories that solidify the concepts. The book will be an invaluable resource for biology students and scientists interested in practical applications of mathematics to analyze mechanisms of complex biological rhythms."

 (Leon Glass, McGill University, 2013)


The second edition of Mathematics as a Laboratory Tool reflects the growing impact that computational science is having on the career choices made by undergraduate science and engineering students.  The focus is on dynamics and the effects of time delays and stochastic perturbations (“noise”) on the regulation provided by feedback control systems.  The concepts are illustrated with applications to gene regulatory networks, motor control, neuroscience and population biology.   The presentation in the first edition has been extended to include discussions of neuronal excitability and bursting, multistability, microchaos, Bayesian inference, second-order delay differential equations, and the semi-discretization method for the numerical integration of delay differential equations. Every effort has been made to ensure that the material is accessible to those with a background in calculus.  The text provides advanced mathematical concepts such as the Laplace and Fourier integral transforms in the form of Tools.   Bayesian inference is introduced using a number of detective-type scenarios including the Monty Hall problem.

Presents mathematical theory to non-mathematicians Includes exercises and chapter-level Q&A Applies laboratory methodology and incorporates real laboratory exercises as supplementary material Progresses in concept complexity from introductory to advanced

Autor*in

John Milton

Themen in »Mathematics as a Laboratory Tool«

Mathematical physiology & neuroscience nonlinear systems bifurcations excitability bursting chaos feedback control time delays noise probability random walks Langevin equation critical phenomena thermodynamics

Stimmen zu »Mathematics as a Laboratory Tool«

Details

ISBN: 9783030695781
Verlag: Springer International Publishing
Erscheinung: 12.08.2021

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